code: def data():
      X = np.array([0, 2, 3, 0]).astype(np.float32).reshape(-1, 1)
      y = np.array([-1, 0, 5, 4]).astype(np.float32).reshape(-1, 1)
      return X, y
  
file_path: skorch/skorch/tests/conftest.py
imports: import numpy
  import pytest
  from sklearn.datasets import make_classification
  from sklearn.datasets import make_regression
  from sklearn.preprocessing import StandardScaler
  import torch
  from torch import nn
label_desc: Use image node_id 11 for calling a global function with example usage: data() and returns: X,  y